"Vorsprung durch Technik" or, "Progress through Technology" is our company ethos and is the core belief that drives the development of every Audi vehicle. It inspires the innovative solutions, revolutionary engineering and progressive design that have become synonymous with the Audi name. And it reminds us to challenge ourselves, rewrite the rules from time to time and always fuel our pioneering spirit. The spirit that sets us apart on the racetrack and the open road. In our relentless pursuit to become the number one premium car brand in America, we need employees who share in this spirit of challenging the status quo in everything that we do. Role Summary: We are seeking a motivated and detail-oriented ADAS Data Acquisition & Analysis Fellow to support our vehicle testing and data analysis efforts. This Fellowship offers hands-on experience in the development and validation of advanced driver assistance systems. The ideal candidate will have a foundational understanding of ADAS technologies, experience with Vector tools, and strong skills in Python and data analytics. Role Responsibilities: Assist with planning and execution of ADAS vehicle testing activities Set up and validate measurement systems and data logging tools for in-vehicle testing Collect, process, and organize test data from various sensors and systems Perform analysis of test results to identify trends, anomalies, and performance metrics Support the engineering team in documenting test procedures and findings Collaborate cross-functionally with software, hardware, and test teams Qualifications: Education-Required: Applicants must be rising seniors in a Bachelor's or Master's program, currently enrolled Ph.D. students, or recent graduates who completed their degree within the past six months. Electrical Engineering, Mechanical Engineering, Computer Science, or related field preferred. GPA of 3.0 or higher Skills: Experience with in-vehicle data acquisition systems Knowledge of sensor technologies (camera, radar, LiDar) Familiarity with test environments and driving protocols Familiarity with ADAS technologies (e.g., Lane Centering, Assisted Lane Change, etc.) Experience with Vector tools (e.g., CANape, CANoe) Proficiency in Python Strong analytical and problem-solving skills Excellent communication and documentation skills In San Jose, California, the hourly rates for this role are based on level of education: Undergraduate (Junior or Senior): $35/hour Graduate (Master's): $38/hour PhD: $42/hour We are unable to consider OPT/CPT/International candidates. Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws. VW Credit
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